Experience
Academic
Columbia University Irving Medical Center
PhD, Systems & Computational Biology (expected
August 2026) Thesis: Machine learning
methods to understand cancer-microbe interactions Advisor: Prof. Tal Korem
New York, NY
2023 - present
Columbia University, Fu Foundation School of Engineering and
Applied Science
Master of Science, Computer Science
(part-time) Thesis: Contamination source
modeling with SCRuB improves cancer phenotype prediction from microbiome
data Advisor: Prof. Tal
Korem
New York, NY
2020 - 2022
Columbia University, Fu Foundation School of Engineering and
Applied Science
Bachelor of Science, Applied Mathematics
New York, NY
2015 - 2019
Industry
Principal Machine Learning Scientist
- Survival analysis framework to assess colorectal cancer screening patterns
- Novel transformer architectures to predict risk of multi-drug contraindications
- Led research to develop and implement AI methods for automated prior authorization approvals
Minnetonka, MN
2019 - 2023
BNY Mellon
Summer Analyst
New York, NY
2017
Awards & Honors
Systems Biology T32 Award 1T32GM158494-01
Columbia University Irving Medical Center, Systems
Biology
New York, NY
2025
Institutional Nominee, Regeneron Prize for Creative
Innovation
Vagelos College of Physicians and Surgeons,
Columbia University Irving Medical Center
New York, NY
2025
Outstanding Poster Award
Columbia Systems Biology Department
Retreat
New York, NY
2023